La creatividad motriz según la resolución de problema identificada

Hernán Oscar Cortez Gutiérrez; Milton Milciades Cortez Gutiérrez; Miguel Ángel Gil Flores

doi:10.31637/epsir-2024-803

Authors

Hernán Oscar Cortez Gutiérrez National University of Callao https://orcid.org/0000-0002-1516-5583
Milton Milciades Cortez Gutiérrez National University of Trujillo https://orcid.org/0000-0003-4939-7734
Miguel Ángel Gil Flores National University of Callao https://orcid.org/0000-0003-1295-7101

DOI:

https://doi.org/10.31637/epsir-2024-803

Keywords:

motor creativity, problem solving; ball, hoop, newspaper, linear regression, coefficient of determination

Abstract

Introduction: The levels of problem solving allow us to characterize two groups, one called “appropriate” and the other “not appropriate” that can serve to improve the level of creativity and academic performance of students. Therefore, the dimensions of motor creativity and the problem-solving abilities of the two groups should be investigated longitudinally and spatially in students. Methodology: Two problem-solving groups were identified and statistically significant differences in the means between the identified groups will be established through an ANOVA and/or MANOVA in the motor creativity scores. We applied Spearman correlational statistics. The sample was non-random and based on convenience. Data were segmented by gender and age using SPSS, and statistical analyzes such as multiple regression, Odds Ratio (OR), confidence intervals (CI) for risks were performed. Neural networks were used to evaluate the importance of the variables. Results: Differences were obtained between the average levels of motor creativity in the two problem-solving groups. The verification of the differences in means is supported by the Fisher statistic. Pearson and Spearman correlation tests indicated a significant relationship between motor creativity and problem solving with various objects. The Kolmogorov-Smirnov test confirmed the normal distribution of the variables. Discussion: Findings suggest that motor creativity is significantly influenced by problem-solving skills, underscoring the need for educational programs that incorporate creative physical activities. Similar results are established with means comparison tests of parametric (Student's t) and non-parametric (Mann-Whitney U) tests. Conclusions: It is important to intervene in the group called “not appropriate” to improve their level of motor creativity. Likewise, motor creativity is closely linked to problem solving, and educational strategies that promote creative movement can significantly impact the comprehensive development of students.

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Author Biographies

Hernán Oscar Cortez Gutiérrez, National University of Callao

Hernán Oscar Cortez Gutiérrez, Senior Lecturer appointed exclusively in the Academic Department of Physical Education, Faculty of Health Sciences, Universidad Nacional del Callao. D. in Molecular Biophysics from the Universidad Estadual Paulista (Brazil) and a Master's degree in Mathematics from the University of Brasilia. His university teaching experience began in 1984 and continues to date. He has published articles in international journals such as Visual Review and Eclectica Química Journal, addressing topics such as the correlation between anxiety and eating habits, correlational design in health and academic performance, and DNA thermodynamics. He is registered in CTI Vitae - Resume related to Science and Technology (Ex DINA) and has RENACYT - Level V recognition.

Milton Milciades Cortez Gutiérrez, National University of Trujillo

Milton Milciades Cortez Gutiérrez, Peruvian mathematician with an extensive academic and professional background. He holds a B.S., M.S. and Ph.D. degree in Partial Differential Equations from the Federal University of Rio de Janeiro. Since 1983, he has been a professor and researcher at the Universidad Nacional de Trujillo. He is the author of several books on mathematics and has advised numerous undergraduate and graduate theses. His research focuses on various areas of pure mathematics, with a remarkable scientific production in international journals. In addition, he has participated in multiple research projects and has experience as a reviewer of scientific projects and articles. He is fluent in English, French and Portuguese, and his line of research covers environmental and medical topics.

Miguel Ángel Gil Flores, National University of Callao

Miguel Ángel Gil Flores is a full-time assistant professor at the Academic Department of Physical Education of the Faculty of Health Sciences of the Universidad Nacional del Callao. He has a Doctorate in Education Sciences, a Master's Degree in Sports Science, and a Bachelor's Degree in Physical Education. In addition, he has training in Business Administration and Management. In recent years, he has received specialized training in syllabus development, grading systems, intellectual property management, COVID-19 prevention at work, and management systems in educational organization. Her professional experience includes an outstanding university teaching career since 2015.

References

Armengol Ortiz, V. E. y Sanmartín López, R. (2024). Estudiando los perfiles afectivos en adolescentes españoles y diferencias en agresividad. European Public & Social Innovation Review, 9, 1-15. https://doi.org/10.31637/epsir-2024-356 DOI: https://doi.org/10.31637/epsir-2024-356

Asiah, M., Zulkarnaen, K. N., Safaai, D., Hafzan, M. Y. N. N., Saberi, M. M. y Syuhaida, S. S. (2019). A review on predictive modeling technique for student academic performance monitoring. MATEC Web of Conferences, 8. https://doi.org/10.1051/matecconf/201925503004 DOI: https://doi.org/10.1051/matecconf/201925503004

Ayure Coronado, E. N. (2021). Habilidades motrices y su importancia en las etapas de la vida. Una revisión documental [Tesis de grado, Corporación Universitaria Minuto de Dios]. Centro de Recursos para el Aprendizaje, la Investigación y la Innovación CRAII – Corporación Universitaria Minuto de Dios. https://repository.uniminuto.edu/handle/10656/13042

Baltagi, B. H. (2021). The one-way error component regression model. En B. H. Baltagi (Ed.), Econometric analysis of panel data (pp. 15-45). Springer International Publishing. https://doi.org/10.1007/978-3-030-53953-5_2 DOI: https://doi.org/10.1007/978-3-030-53953-5_2

Deeks, J. y Higgins, J. (2007). Statistical algorithms. Statistical Algorithms in Review Manager, 5. https://goo.su/9bPSG

Instituto Nacional de Estadística e Informática. (2023). Encuesta demográfica y de salud familiar. Gobierno de Perú. https://acortar.link/Po3x4V

Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. https://doi.org/10.1016/j.patrec.2005.10.010 DOI: https://doi.org/10.1016/j.patrec.2005.10.010

IBM. (2021). Guía del usuario del sistema básico de IBM SPSS. Statistics, 27. https://lc.cx/SmvjCP

Instituto Nacional de Estadística e Informática. (2023). Encuesta Nacional de Demografía y Salud. https://proyectos.inei.gob.pe/endes/

Koch, S. C., Morlinghaus, K. y Fuchs, T. (2007). The joy dance. The Arts in Psychotherapy, 34(4), 340-349. https://doi.org/10.1016/j.aip.2007.07.001 DOI: https://doi.org/10.1016/j.aip.2007.07.001

Kronthaler, F. y Zöllner, S. (2021). Data Analysis with RStudio. Springer. https://link.springer.com/book/10.1007/978-3-662-62518-7 DOI: https://doi.org/10.1007/978-3-662-62518-7

LeCun, Y., Bengio, Y. y Hinton, G. (2015). Deep learning. Nature, 521, 436-444. https://doi.org/10.1038/nature14539 DOI: https://doi.org/10.1038/nature14539

López, J. (2020). Salud, adaptación y estrés académico en estudiantes universitarios [Tesis de maestría, Universidad Cooperativa de Colombia]. Repositorio Institucional – Universidad Cooperativa de Colombia. https://hdl.handle.net/20.500.12494/20635

McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143-149. https://doi.org/10.11613/BM.2013.018 DOI: https://doi.org/10.11613/BM.2013.018

Murcia Peña, N. (2007). La evaluación de la creatividad motriz: Un concepto por construir. Apunts. Educación Física y Deportes, 3(65). https://raco.cat/index.php/ApuntsEFD/article/view/301921

Pallant, J. (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS (7.a ed.). Routledge. https://doi.org/10.4324/9781003117452 DOI: https://doi.org/10.4324/9781003117452

R Foundation for Statistical Computing. (2023). R: The R Project for Statistical Computing. https://www.r-project.org/

World Medical Association. (2013). World Medical Association declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191. https://doi.org/10.1001/jama.2013.281053 DOI: https://doi.org/10.1001/jama.2013.281053

Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y. y Breazeal, C. (2023). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 33(2), 290-324. https://doi.org/10.1007/s40593-022-00293-3 DOI: https://doi.org/10.1007/s40593-022-00293-3

Zhou, S., Liu, D., Zhu, M., Tang, W., Chi, Q., Ye, S., Xu, S. y Cui, Y. (2022). Temporal and spatial variation of land surface temperature and its driving factors in Zhengzhou City in China from 2005 to 2020. Remote Sensing, 14(17). https://doi.org/10.3390/rs14174281 DOI: https://doi.org/10.3390/rs14174281

Zweig, M. H. y Campbell, G. (1993). Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4), 561-577. https://doi.org/10.1093/clinchem/39.4.561 DOI: https://doi.org/10.1093/clinchem/39.4.561